# Between Puppet and Actor: Reframing Authorship in this Age of AI Agents

arXiv: https://arxiv.org/abs/2501.15346 · HTML: https://mlsanity.com/paper/2501.15346/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use.
- Builds on 0 of its 1 references that are in the map.
- First posted on arXiv 25 Jan 2025.

## Placed in

- LLM agents and tool use / [General LLM agent frameworks and benchmarks](https://mlsanity.com/agents/general-llm-agent-frameworks-and-benchmarks/)

## Built on by (most cited first, 2 of 2)

- [Creativity in LLM-based Multi-Agent Systems: A Survey](https://mlsanity.com/paper/2505.21116/) (2025)
- [ORIBA: Exploring LLM-Driven Role-Play Chatbot as a Creativity Support Tool for Original Character Artists](https://mlsanity.com/paper/2512.12630/) (2025)

## Abstract (arXiv)

This chapter examines the conceptual tensions in understanding artificial intelligence (AI) agents' role in creative processes, particularly focusing on Large Language Models (LLMs). Building upon Schmidt's 1954 categorization of human-technology relationships and the classical definition of "author," this chapter proposes to understand AI agency as existing somewhere between that of an inanimate puppet and a performing actor. While AI agents demonstrate a degree of creative autonomy, including the ability to improvise and construct complex narrative content in interactive storytelling, they cannot be considered authors in the classical sense of the term. This chapter thus suggests that AI agents exist in a dynamic state between human-controlled puppets and semi-autonomous actors. This conceptual positioning reflects how AI agents, while they can certainly contribute to creative work, remain bound to human direction. We also argue that existing conceptual frames concerning authorship should evolve and adapt to capture these new relationships.